Computer-aided detection of brain tumor from magnetic resonance images using deep learning network
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02336-w.pdf
Reference25 articles.
1. Abiwinanda N, Hanif M, Hesaputra ST, Handayani A, Mengko TR (2019) Brain tumor classification using convolutional neural network. In: World Congress on Medical Physics and Biomedical Engineering, pp 183–189
2. Amin J, Sharif M, Raza M, Yasmin M (2018) Detection of brain tumor based on features fusion and machine learning. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-018-1092-9
3. Amin J, Sharif M, Raza M, Saba T, Anjum MA (2019) Brain tumor detection using statistical and machine learning method. Comput Methods Programs Biomed 177:69–79
4. Bahadure NB, Ray AK, Thethi HP (2017) Image analysis for MRI based brain tumor detection and feature extraction using biologically inspired BWT and SVM. Int J Biomed Imag 2017:1–13
5. Bandhyopadhyay SK, Paul TU (2013) Automatic segmentation of brain tumour from multiple images of brain MRI. Int J Appl Innov Eng Manag (IJAIEM) 2(1):240–248
Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Brain tumor classification for combining the advantages of multilayer dense net‐based feature extraction and hyper‐parameters tuned attentive dual residual generative adversarial network classifier using wild horse optimization;NMR in Biomedicine;2024-08-28
2. Brain MRI detection and classification: Harnessing convolutional neural networks and multi-level thresholding;PLOS ONE;2024-08-01
3. Enhancing radiographic image interpretation: WARES-PRS model for knee bone tumour detection;Network: Computation in Neural Systems;2024-06-26
4. Brain tumor classification for MRI images using dual-discriminator conditional generative adversarial network;Electromagnetic Biology and Medicine;2024-03-10
5. Artificial Intelligence in Healthcare with Special Consideration in Radio Imaging;2023 1st DMIHER International Conference on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI);2023-11-27
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3